Accurate NGS data analysis and interpretation
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Francis Crick - Francis Harry Compton Crick (8 June 1916 – 28 July 2004) was an English molecular biologist, biophysicist, and neuroscientist. He, James Watson, and Rosalind Franklin played crucial roles in deciphering the helical structure of the DNA molecule. Crick and Watson's paper in Nature in 1953 laid the groundwork for understanding DNA structure and functions.


Accurate NGS data analysis and interpretation
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Francis Collins - Francis Sellers Collins (born April 14, 1950) is an American physician-geneticist who discovered the genes associated with a number of diseases and led the Human Genome Project.


Accurate NGS data analysis and interpretation
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James Watson - James Dewey Watson (born April 6, 1928) is an American molecular biologist, geneticist, and zoologist. In 1953, he co-authored with Francis Crick the academic paper proposing the double helix structure of the DNA molecule. Watson, Crick and Maurice Wilkins were awarded the 1962 Nobel Prize in Physiology or Medicine "for their discoveries concerning the molecular structure of nucleic acids and its significance for information transfer in living material".


Accurate NGS data analysis and interpretation
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Rosalind Franklin - Rosalind Elsie Franklin (25 July 1920 – 16 April 1958) was an English chemist and X-ray crystallographer whose work was central to the understanding of the molecular structures of DNA (deoxyribonucleic acid), RNA (ribonucleic acid), viruses, coal, and graphite.

We have discovered the secret of life.

- Francis Crick

Bioinformatics Solutions

In a joint effort with medical doctors and geneticist we perform analysis and interpretation of personal genomes of individuals and families interested in knowing their genetic predisposition or patients with an indication to perform these studies.

This analysis are offered to medical doctors and patients interested in knowing information about their genomic profile associated with supporting decisions on the prescription of medicines.

Bioinformatics data analysis and software development contract research projects. Genome interpretation and data analysis is offered to institutes, hospitals, clinics, laboratories, health companies, physicians, geneticists and researchers, who lack sufficient bioinformatics support to analyse their studies.

Data analysis platform diagram

Design and develop genome analysis solutions. Medical institutions improving the privacy of their patients' information or having a massive demand for clinical genome analysis are offered ad-hoc implementation of the genome analysis platforms in their local or cloud infrastructure.

Bioinformatics services diagram

At Genomap we perform phenotype-genotype data analysis workflows associated with the diagnosis of rare diseases in the context of clinical genomics. Our genome analysis and interpretation platform was redesigned to assist medical geneticists in the diagnosis of rare hereditary diseases.

Rare disease data analysis pipeline

0 Chromosomes
0 Genes
0 Known short variants
0 You

Bioinformatics data analysis platform

Bioinformatics data skills

Rare disease data analysis pipeline

Want to know more about Genomap

contact us


ime prezime

Leandro Roser

Excecutive director
ime prezime

Patricio Yankilevich

Founder and Scientific director
Patients are not yet asking the question ‘Is this therapy going to work for me?’ I look forward to the day patients do ask that question.
- Medical geneticist, expert in genetic disorders
We think about bad diseases when we think about mutations, but I’m wondering how many good mutations I might have as well.
- User, interested in learning more about his own genetic makeup
As it is possible to observe the skin, hair, physical constitution, veins and tendons, nails, diet and habits to know about your health, it is also possible to know your genetic information to act on it.
- from Ayurvedic Medicine, to Molecular Biology
“You can stratify people into clear trajectories for heart attack, based on something you have fixed from birth”.
- Sekar Kathiresan, geneticist at Massachusetts General Hospital in Boston
Only about 1% of your DNA actually codes for proteins. The rest is non-coding DNA. A large part of your DNA still has unknown function (and great potential).
- Protein coding genes
There is a popular misconception that because our genetics doesn’t change, “it’s somehow a destiny that will be fulfilled”.
- Ewan Birney, past director of the European Bioinformatics Institute
“A simple idea: compare a group of people with a condition to a group without and look for differences in their DNA.
- Geneticists, searching for the differences that might explain why one person develops diabetes or heart disease whereas another does not.
We start to enter a world where you can provide a precision-medicine result for everyone.

Contact us

Miller 3452,
CABA, Buenos Aires,
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